The prerequisite of maintaining an efficient and safe mining operation is the proper design of a mine by considering all aspects. The first step in a coal mine design is a realistic geometrical modelling of the coal seam(s). The structural features such as faults and folding must be reliably implemented in 3D seam models. Upon having a consistent seam model, the attributes such as calorific val...

This research project developed an adaptive stochastic optimisation approach for multi-period production scheduling in open-pit mines under geological uncertainty, and compared it to existing two-stage method. new rolling-horizon updates the model each time period as information becomes available. Numerical tests carried out earlier on open-pits of different sizes showed that, average, policy g...

In order to catch up with reality, all the macro-decisions related to long-term mining production planning must be made simultaneously and under uncertain conditions of determinant parameters. By taking advantage of the chance-constrained programming, this paper presents a stochastic model to create an optimal strategy for producing bimetallic deposit open-pit mines under certain and uncertain ...

Well-planned projects might end unsatisfactorily if changes in software release plan are not controlled and managed. While process control detects potentially risky changes, re-planning adjusts a current plan to changing reality. Association rule mining can be used to discover interesting relations like associations, correlations etc. among different attributes of large databases. We investigat...

One of the best-known problems in data mining is association rule mining. It requires very large computation and I/O traffic capacity, therefore several distributed and parallel association rule mining algorithms have been developed. However the association rule mining problem is NP complete, the execution time estimation of the algorithms can be very important, especially for load balancing or...

The advancement in technology, competitive market environment and changing behaviour of customers has generated an increased interest in direct marketing method for marketing. Data mining technology can predict and detect the changes in customer behaviour which facilities the effective planning of direct marketing campaigns. The objective of this paper is to generate a simplified data mining fr...